Mac17,3
Geekbench AI Score
14335
Single Precision Score
25550
Half Precision Score
26974
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | matta |
| Upload Date | March 19 2026 06:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E243) |
| 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% |
6036
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10337
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
10830
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9953
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15359
249.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16360
265.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37186
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89720
104.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
117994
138.3 IPS |
|
|
Object Detection (SP)
|
100% |
6351
503.8 IPS |
|
|
Object Detection (HP)
|
100% |
11205
888.8 IPS |
|
|
Object Detection (Q)
|
94% |
11808
941.5 IPS |
|
|
Face Detection (SP)
|
100% |
18844
223.9 IPS |
|
|
Face Detection (HP)
|
100% |
34970
415.5 IPS |
|
|
Face Detection (Q)
|
100% |
33443
397.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27582
212.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
52143
401.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
55363
432.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77773
100.0 IPS |
|
|
Style Transfer (HP)
|
100% |
163204
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
207111
267.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15371
567.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29941
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28366
1.05 KIPS |
|
|
Text Classification (SP)
|
99% |
6044
8.07 KIPS |
|
|
Text Classification (HP)
|
100% |
10131
13.5 KIPS |
|
|
Text Classification (Q)
|
92% |
10098
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
6877
118.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8230
141.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7523
130.0 IPS |
