Mac17,2
Geekbench AI Score
5313
Single Precision Score
8643
Half Precision Score
6880
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 05:04 AM |
| Views | 3 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2302
428.2 IPS |
|
|
Image Classification (HP)
|
100% |
3739
695.4 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3573
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3854
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11112
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20684
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17849
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4256
338.9 IPS |
|
|
Object Detection (Q)
|
94% |
2966
236.4 IPS |
|
|
Face Detection (SP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8492
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4790
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9142
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15184
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10582
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27117
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41402
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33844
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7288
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5173
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5554
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5091
87.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9157
158.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9515
164.4 IPS |
