MacBookPro15,3
Geekbench AI Score
745
Single Precision Score
103
Half Precision Score
83
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| Upload Date | July 06 2025 03:21 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-8950HK |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBookPro15,3 |
| Model ID | MacBookPro15,3 |
| Motherboard | Apple Inc. Mac-1E7E29AD0135F9BC MacBookPro15,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-8950HK |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1987
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
651
0.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
590
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
834
9.91 IPS |
|
|
Face Detection (HP)
|
100% |
663
7.87 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1152
8.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
1041
8.02 IPS |
|
|
Depth Estimation (Q)
|
85% |
626
4.89 IPS |
|
|
Style Transfer (SP)
|
100% |
2964
3.81 IPS |
|
|
Style Transfer (HP)
|
100% |
2541
3.27 IPS |
|
|
Style Transfer (Q)
|
96% |
1844
2.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1209
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
325
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.9 IPS |
|
|
Text Classification (HP)
|
100% |
443
591.0 IPS |
|
|
Text Classification (Q)
|
93% |
449
603.1 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (Q)
|
98% |
524
9.05 IPS |
