Mac17,2
Geekbench AI Score
5052
Single Precision Score
8109
Half Precision Score
6421
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | February 25 2026 12:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
2793
519.3 IPS |
|
|
Image Classification (Q)
|
94% |
1774
331.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2773
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3598
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8883
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17432
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
15133
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2522
200.1 IPS |
|
|
Object Detection (HP)
|
98% |
3754
298.7 IPS |
|
|
Object Detection (Q)
|
88% |
2493
199.8 IPS |
|
|
Face Detection (SP)
|
100% |
4505
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
8275
98.3 IPS |
|
|
Face Detection (Q)
|
100% |
4648
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7927
61.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11195
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7837
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20713
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41022
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33397
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5132
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9284
342.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5901
217.9 IPS |
|
|
Text Classification (SP)
|
100% |
5855
7.81 KIPS |
|
|
Text Classification (HP)
|
100% |
9392
12.5 KIPS |
|
|
Text Classification (Q)
|
92% |
9425
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
4627
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7320
126.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7319
126.5 IPS |
