Mac17,2
Geekbench AI Score
5294
Single Precision Score
8590
Half Precision Score
6846
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | January 23 2026 11:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2290
425.8 IPS |
|
|
Image Classification (HP)
|
100% |
3658
680.2 IPS |
|
|
Image Classification (Q)
|
96% |
2514
469.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3533
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3857
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11327
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20707
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17864
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4188
333.4 IPS |
|
|
Object Detection (Q)
|
94% |
2952
235.3 IPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8472
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4766
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9111
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15257
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10623
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26547
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41411
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33735
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5992
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7304
269.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5345
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5022
86.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9117
157.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9368
161.9 IPS |
