Mac17,2
Geekbench AI Score
5295
Single Precision Score
8545
Half Precision Score
6863
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 03 2025 11:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.8 IPS |
|
|
Image Classification (Q)
|
96% |
2530
472.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3894
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10983
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20803
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17896
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2698
214.0 IPS |
|
|
Object Detection (HP)
|
97% |
4198
334.2 IPS |
|
|
Object Detection (Q)
|
94% |
2975
237.1 IPS |
|
|
Face Detection (SP)
|
100% |
4838
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8538
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4840
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9121
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15235
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10629
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27518
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41388
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33965
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7111
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5127
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
2874
3.84 KIPS |
|
|
Text Classification (HP)
|
99% |
5056
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5286
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5036
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9379
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9334
161.3 IPS |
