Mac17,2
Geekbench AI Score
5029
Single Precision Score
8372
Half Precision Score
6649
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 19 2026 02:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.27 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2178
405.1 IPS |
|
|
Image Classification (HP)
|
100% |
3611
671.6 IPS |
|
|
Image Classification (Q)
|
96% |
2416
451.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3384
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3696
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10473
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19697
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16952
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
97% |
4098
326.3 IPS |
|
|
Object Detection (Q)
|
94% |
2862
228.1 IPS |
|
|
Face Detection (SP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
8032
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
4611
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8673
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14149
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10192
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23974
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39002
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32472
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5631
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7226
266.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5098
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5986
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5575
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4769
82.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8948
154.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8993
155.4 IPS |
