Mac17,2
Geekbench AI Score
5304
Single Precision Score
40223
Half Precision Score
56219
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 03 2025 11:10 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
17335
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24473
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24189
392.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32678
529.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11335
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
176183
205.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
327213
383.5 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
18143
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26108
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4832
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
46886
557.1 IPS |
|
|
Face Detection (Q)
|
100% |
66193
786.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9162
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
109584
844.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
182773
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27530
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270500
347.7 IPS |
|
|
Style Transfer (Q)
|
96% |
371106
478.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
61410
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96567
3.57 KIPS |
|
|
Text Classification (SP)
|
100% |
2858
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5938
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17252
297.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17931
309.9 IPS |
