MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
836
Single Precision Score
104
Half Precision Score
84
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 10:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| 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% |
357
66.4 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2546
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
678
0.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
672
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
780
9.26 IPS |
|
|
Face Detection (Q)
|
100% |
326
3.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
1467
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1046
8.06 IPS |
|
|
Depth Estimation (Q)
|
85% |
667
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
4176
5.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2772
3.56 IPS |
|
|
Style Transfer (Q)
|
96% |
2202
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1221
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
324
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
385
514.2 IPS |
|
|
Text Classification (HP)
|
100% |
410
546.8 IPS |
|
|
Text Classification (Q)
|
93% |
400
536.3 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (Q)
|
98% |
470
8.12 IPS |
