MacBook Pro M5 Mac17,2
Geekbench AI Score
5280
Single Precision Score
43354
Half Precision Score
61243
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | TechHut |
| Upload Date | October 28 2025 08:38 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2229
414.6 IPS |
|
|
Image Classification (HP)
|
100% |
19655
3.66 KIPS |
|
|
Image Classification (Q)
|
97% |
27793
5.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24255
393.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33391
541.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10881
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
179309
209.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
335001
392.6 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
19871
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
27357
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4699
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
47880
568.9 IPS |
|
|
Face Detection (Q)
|
100% |
68344
812.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9074
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
114847
884.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
196059
1.53 KIPS |
|
|
Style Transfer (SP)
|
100% |
27416
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
275661
354.4 IPS |
|
|
Style Transfer (Q)
|
96% |
379011
489.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67925
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
108073
3.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3068
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
7281
9.72 KIPS |
|
|
Text Classification (Q)
|
93% |
8272
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4956
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
18424
317.4 IPS |
|
|
Machine Translation (Q)
|
98% |
19223
332.2 IPS |
