Mac17,2
Geekbench AI Score
5309
Single Precision Score
8599
Half Precision Score
6870
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 03:32 AM |
| Views | 2 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
3607
670.7 IPS |
|
|
Image Classification (Q)
|
96% |
2507
468.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3535
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3847
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11322
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20649
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17781
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.7 IPS |
|
|
Object Detection (HP)
|
97% |
4214
335.5 IPS |
|
|
Object Detection (Q)
|
94% |
2957
235.7 IPS |
|
|
Face Detection (SP)
|
100% |
4771
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8458
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4768
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9107
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15230
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10606
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27545
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41248
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33817
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7224
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5141
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5535
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5040
86.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9380
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9334
161.3 IPS |
