Mac17,2
Geekbench AI Score
11809
Single Precision Score
22553
Half Precision Score
20584
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 03 2025 12:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
5641
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
9372
1.74 KIPS |
|
|
Image Classification (Q)
|
97% |
8517
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9829
159.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16220
262.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16584
268.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
38766
45.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
100534
117.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
109612
128.5 IPS |
|
|
Object Detection (SP)
|
100% |
6181
490.3 IPS |
|
|
Object Detection (HP)
|
100% |
10576
838.9 IPS |
|
|
Object Detection (Q)
|
93% |
9414
751.0 IPS |
|
|
Face Detection (SP)
|
100% |
16708
198.5 IPS |
|
|
Face Detection (HP)
|
100% |
32300
383.8 IPS |
|
|
Face Detection (Q)
|
100% |
24101
286.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27726
213.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50285
387.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
48160
376.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79321
102.0 IPS |
|
|
Style Transfer (HP)
|
100% |
186868
240.2 IPS |
|
|
Style Transfer (Q)
|
96% |
208390
268.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16355
603.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30511
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26490
978.2 IPS |
|
|
Text Classification (SP)
|
100% |
2803
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
5178
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5262
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2357
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2779
48.0 IPS |
