Mac17,2
Geekbench AI Score
5312
Single Precision Score
8641
Half Precision Score
6854
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 03:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2325
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
3642
677.3 IPS |
|
|
Image Classification (Q)
|
96% |
2507
468.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3873
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11252
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20768
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17870
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
4255
338.8 IPS |
|
|
Object Detection (Q)
|
94% |
2988
238.2 IPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8513
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4794
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9085
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15189
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10617
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27378
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41305
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33775
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5103
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
5674
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5375
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5060
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9332
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9369
161.9 IPS |
