Mac17,2
Geekbench AI Score
13651
Single Precision Score
25534
Half Precision Score
24432
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 16 2026 06:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6277
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11104
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
9912
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10222
165.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16772
271.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17267
279.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39628
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103280
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
111662
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
6436
510.5 IPS |
|
|
Object Detection (HP)
|
100% |
11761
932.9 IPS |
|
|
Object Detection (Q)
|
93% |
10052
801.9 IPS |
|
|
Face Detection (SP)
|
100% |
18458
219.3 IPS |
|
|
Face Detection (HP)
|
100% |
34140
405.7 IPS |
|
|
Face Detection (Q)
|
100% |
26544
315.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28676
220.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55673
428.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
53214
415.5 IPS |
|
|
Style Transfer (SP)
|
100% |
81852
105.2 IPS |
|
|
Style Transfer (HP)
|
100% |
190026
244.3 IPS |
|
|
Style Transfer (Q)
|
96% |
211410
272.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16303
602.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32766
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30379
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5597
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5575
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6313
108.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7863
135.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7801
134.8 IPS |
