MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
1702
Single Precision Score
1542
Half Precision Score
621
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | Pijiuhua |
| Upload Date | March 26 2026 01:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| System Information | |
|---|---|
| Operating System | macOS 15.7.5 (Build 24G624) |
| 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% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
922
171.4 IPS |
|
|
Image Classification (Q)
|
96% |
127
23.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
168
2.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
7311
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6164
7.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
1908
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (HP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (Q)
|
92% |
137
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
4699
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
196
2.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
6234
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4249
32.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
3925
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14533
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13034
16.8 IPS |
|
|
Style Transfer (Q)
|
96% |
15000
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2785
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2056
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1806
66.7 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.7 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.6 IPS |
|
|
Text Classification (Q)
|
93% |
288
386.6 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.52 IPS |
|
|
Machine Translation (Q)
|
98% |
256
4.43 IPS |
