Mac17,3
Geekbench AI Score
5561
Single Precision Score
9067
Half Precision Score
6992
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 31 2026 04:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2240
416.5 IPS |
|
|
Image Classification (HP)
|
100% |
3826
711.5 IPS |
|
|
Image Classification (Q)
|
94% |
2199
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2765
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3631
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10000
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19522
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16782
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2707
214.7 IPS |
|
|
Object Detection (HP)
|
98% |
4202
334.4 IPS |
|
|
Object Detection (Q)
|
88% |
2635
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
5135
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
9408
111.8 IPS |
|
|
Face Detection (Q)
|
100% |
4960
58.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8822
68.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11383
88.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7907
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25377
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
46333
59.6 IPS |
|
|
Style Transfer (Q)
|
96% |
36813
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5833
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10304
380.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6388
235.9 IPS |
|
|
Text Classification (SP)
|
100% |
6150
8.21 KIPS |
|
|
Text Classification (HP)
|
100% |
9849
13.1 KIPS |
|
|
Text Classification (Q)
|
92% |
9907
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
5130
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8596
148.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8657
149.6 IPS |
