Mac17,2
Geekbench AI Score
5276
Single Precision Score
8563
Half Precision Score
6819
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | stoninex |
| Upload Date | March 12 2026 02:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2261
420.4 IPS |
|
|
Image Classification (HP)
|
100% |
3675
683.4 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3553
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3811
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11177
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20749
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17695
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
97% |
4133
329.0 IPS |
|
|
Object Detection (Q)
|
94% |
2889
230.3 IPS |
|
|
Face Detection (SP)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7795
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4708
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9077
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15030
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10536
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27318
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41240
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33753
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7426
274.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5175
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5686
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5595
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4985
85.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9289
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9219
159.3 IPS |
