Mac17,2
Geekbench AI Score
5311
Single Precision Score
8652
Half Precision Score
6905
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | warp0519 |
| Upload Date | February 22 2026 02:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
2296
427.0 IPS |
|
|
Image Classification (HP)
|
100% |
3679
684.1 IPS |
|
|
Image Classification (Q)
|
96% |
2520
470.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3572
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3906
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10970
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20799
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17865
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (HP)
|
97% |
4203
334.6 IPS |
|
|
Object Detection (Q)
|
94% |
2964
236.3 IPS |
|
|
Face Detection (SP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8551
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
4843
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9144
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15295
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10661
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27546
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41472
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33923
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7173
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5168
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5031
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9424
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9431
163.0 IPS |
