MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
1661
Single Precision Score
1504
Half Precision Score
600
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 08 2025 10:48 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
751
139.7 IPS |
|
|
Image Classification (HP)
|
100% |
1445
268.7 IPS |
|
|
Image Classification (Q)
|
96% |
131
24.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
143
2.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
7122
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6436
7.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
1692
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (Q)
|
92% |
143
11.4 IPS |
|
|
Face Detection (SP)
|
100% |
4513
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
4830
57.4 IPS |
|
|
Face Detection (Q)
|
100% |
193
2.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
6056
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4474
34.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
3985
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14433
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13609
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
15688
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2681
99.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1996
73.7 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.1 IPS |
|
|
Text Classification (HP)
|
100% |
137
182.9 IPS |
|
|
Text Classification (Q)
|
93% |
213
286.4 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.61 IPS |
|
|
Machine Translation (Q)
|
98% |
262
4.53 IPS |
