MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
872
Single Precision Score
108
Half Precision Score
88
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | June 26 2025 08:01 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
423
78.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
428
6.94 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2498
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
674
0.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
621
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.62 IPS |
|
|
Face Detection (Q)
|
100% |
308
3.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
1425
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1092
8.41 IPS |
|
|
Depth Estimation (Q)
|
85% |
690
5.40 IPS |
|
|
Style Transfer (SP)
|
100% |
4284
5.51 IPS |
|
|
Style Transfer (HP)
|
100% |
2941
3.78 IPS |
|
|
Style Transfer (Q)
|
96% |
2336
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1653
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
380
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
427
570.0 IPS |
|
|
Text Classification (HP)
|
100% |
446
595.8 IPS |
|
|
Text Classification (Q)
|
93% |
454
609.2 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
98% |
525
9.08 IPS |
