Mac17,2
Geekbench AI Score
5265
Single Precision Score
8615
Half Precision Score
6864
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 08:37 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 | 4.25 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
3588
667.3 IPS |
|
|
Image Classification (Q)
|
96% |
2432
454.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3522
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3848
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11006
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20873
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17892
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
97% |
4219
335.9 IPS |
|
|
Object Detection (Q)
|
94% |
2963
236.2 IPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8538
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4803
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9124
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15179
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10610
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27573
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41437
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33871
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5983
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7194
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5167
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5582
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5082
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9391
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9399
162.4 IPS |
