Mac17,2
Geekbench AI Score
5308
Single Precision Score
8611
Half Precision Score
6820
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 03:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2323
432.1 IPS |
|
|
Image Classification (HP)
|
100% |
3663
681.1 IPS |
|
|
Image Classification (Q)
|
96% |
2509
468.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3564
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3776
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11152
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20870
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17744
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
97% |
4238
337.4 IPS |
|
|
Object Detection (Q)
|
94% |
2978
237.4 IPS |
|
|
Face Detection (SP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8507
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4786
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9130
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15226
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10641
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27191
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41381
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33782
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7224
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5137
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5334
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5250
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9401
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9378
162.1 IPS |
