MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
1710
Single Precision Score
1776
Half Precision Score
716
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Shougeki |
| Upload Date | January 24 2025 01:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (15-inch Mid 2019) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (Q)
|
96% |
94
17.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
99% |
185
3.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
7283
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
7776
9.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
1978
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (Q)
|
92% |
154
12.3 IPS |
|
|
Face Detection (SP)
|
100% |
4429
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
5054
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
224
2.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
6077
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6424
49.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
5465
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14385
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15300
19.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18704
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2701
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3099
114.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2840
104.9 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.6 IPS |
|
|
Text Classification (HP)
|
100% |
177
235.8 IPS |
|
|
Text Classification (Q)
|
93% |
334
448.9 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.16 IPS |
|
|
Machine Translation (Q)
|
98% |
308
5.32 IPS |
