MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
871
Single Precision Score
613
Half Precision Score
423
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 08 2025 10:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| 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% |
415
77.3 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.2 IPS |
|
|
Image Classification (Q)
|
96% |
184
34.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (Q)
|
99% |
301
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
2524
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
590
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (Q)
|
92% |
185
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
975
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (Q)
|
100% |
308
3.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
1523
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
956
7.37 IPS |
|
|
Depth Estimation (Q)
|
85% |
611
4.78 IPS |
|
|
Style Transfer (SP)
|
100% |
3982
5.12 IPS |
|
|
Style Transfer (HP)
|
100% |
2661
3.42 IPS |
|
|
Style Transfer (Q)
|
96% |
1999
2.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1593
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
376
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
407
543.9 IPS |
|
|
Text Classification (HP)
|
100% |
411
549.0 IPS |
|
|
Text Classification (Q)
|
93% |
405
544.1 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
519
8.93 IPS |
|
|
Machine Translation (Q)
|
98% |
536
9.27 IPS |
