Mac17,2
Geekbench AI Score
5320
Single Precision Score
8643
Half Precision Score
6892
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 07:40 AM |
| Views | 5 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2272
422.6 IPS |
|
|
Image Classification (HP)
|
100% |
3681
684.6 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3543
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3878
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11268
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20813
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17818
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4242
337.7 IPS |
|
|
Object Detection (Q)
|
94% |
2963
236.2 IPS |
|
|
Face Detection (SP)
|
100% |
4733
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
8479
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4820
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9127
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15208
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10593
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27224
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41329
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33771
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5991
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5169
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3087
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5674
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5011
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9308
160.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9267
160.1 IPS |
