Mac17,3
Geekbench AI Score
5241
Single Precision Score
8536
Half Precision Score
6791
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | chonaso |
| Upload Date | March 13 2026 03:35 AM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2269
422.0 IPS |
|
|
Image Classification (HP)
|
100% |
3691
686.4 IPS |
|
|
Image Classification (Q)
|
96% |
2500
466.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3241
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3525
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11002
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20840
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17834
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (HP)
|
97% |
4158
331.0 IPS |
|
|
Object Detection (Q)
|
94% |
2917
232.5 IPS |
|
|
Face Detection (SP)
|
100% |
4751
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8480
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4760
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9090
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15193
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10556
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27521
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41381
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33797
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5894
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7151
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5146
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
3090
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5545
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5045
86.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9375
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9396
162.4 IPS |
