Mac17,3
Geekbench AI Score
5254
Single Precision Score
8541
Half Precision Score
6804
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | deutros |
| Upload Date | March 11 2026 02:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,3 |
| Model ID | Mac17,3 |
| Motherboard | Mac17,3 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2297
427.2 IPS |
|
|
Image Classification (HP)
|
100% |
3519
654.4 IPS |
|
|
Image Classification (Q)
|
96% |
2482
463.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3301
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3589
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11329
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20614
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17766
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
97% |
4223
336.2 IPS |
|
|
Object Detection (Q)
|
94% |
2922
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
8452
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4759
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9059
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15223
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10560
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27427
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41413
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33831
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7170
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5178
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5674
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5573
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9427
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9380
162.1 IPS |
