Mac17,3
Geekbench AI Score
5542
Single Precision Score
8953
Half Precision Score
6970
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | matta |
| Upload Date | March 19 2026 06:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E243) |
| Model | Mac17,3 |
| Model ID | Mac17,3 |
| Motherboard | Mac17,3 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.4 IPS |
|
|
Image Classification (HP)
|
100% |
3801
706.8 IPS |
|
|
Image Classification (Q)
|
94% |
2343
437.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2230
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3629
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9814
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19405
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16751
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (HP)
|
98% |
3745
298.0 IPS |
|
|
Object Detection (Q)
|
88% |
2675
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
5098
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
9366
111.3 IPS |
|
|
Face Detection (Q)
|
100% |
4923
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8776
67.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11675
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7976
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25401
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
46207
59.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36748
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5718
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10043
370.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6043
223.1 IPS |
|
|
Text Classification (SP)
|
100% |
6039
8.06 KIPS |
|
|
Text Classification (HP)
|
99% |
10012
13.4 KIPS |
|
|
Text Classification (Q)
|
92% |
10011
13.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5172
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8410
144.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8140
140.7 IPS |
