Mac17,3
Geekbench AI Score
13430
Single Precision Score
24103
Half Precision Score
25338
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | princeth |
| Upload Date | March 11 2026 10:17 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6116
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10347
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
10374
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9955
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15289
247.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16519
267.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37245
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89600
104.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
117699
138.0 IPS |
|
|
Object Detection (SP)
|
100% |
6361
504.6 IPS |
|
|
Object Detection (HP)
|
100% |
11176
886.5 IPS |
|
|
Object Detection (Q)
|
94% |
11702
933.1 IPS |
|
|
Face Detection (SP)
|
100% |
19059
226.5 IPS |
|
|
Face Detection (HP)
|
100% |
34608
411.2 IPS |
|
|
Face Detection (Q)
|
100% |
33276
395.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27542
212.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52007
400.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
55283
431.6 IPS |
|
|
Style Transfer (SP)
|
100% |
77813
100.0 IPS |
|
|
Style Transfer (HP)
|
100% |
163523
210.2 IPS |
|
|
Style Transfer (Q)
|
96% |
206033
265.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15315
565.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29720
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28379
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5542
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5584
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6982
120.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8618
148.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7696
133.0 IPS |
