Mac17,2
Geekbench AI Score
5340
Single Precision Score
8642
Half Precision Score
6906
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | nschalkx |
| Upload Date | January 09 2026 08:32 AM |
| Views | 7 |
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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (HP)
|
100% |
3681
684.6 IPS |
|
|
Image Classification (Q)
|
96% |
2516
469.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3606
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3883
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11301
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20708
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17631
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (HP)
|
97% |
4189
333.5 IPS |
|
|
Object Detection (Q)
|
94% |
2959
235.9 IPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8612
102.3 IPS |
|
|
Face Detection (Q)
|
100% |
4845
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9058
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15345
118.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10661
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27336
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41350
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33852
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6034
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7161
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5177
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5488
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9399
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9754
168.6 IPS |
