Mac17,2
Geekbench AI Score
5292
Single Precision Score
8581
Half Precision Score
6867
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | December 31 2025 03:20 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 4.58 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2262
420.7 IPS |
|
|
Image Classification (HP)
|
100% |
3657
680.2 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3566
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3885
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11196
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20676
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17789
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.3 IPS |
|
|
Object Detection (HP)
|
97% |
4150
330.4 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.1 IPS |
|
|
Face Detection (SP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8477
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4819
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9132
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15183
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10583
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27295
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41350
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33854
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5919
218.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7234
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5192
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5398
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5011
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9319
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9383
162.2 IPS |
