Mac17,2
Geekbench AI Score
5317
Single Precision Score
8718
Half Precision Score
6893
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | February 26 2026 04:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2304
428.6 IPS |
|
|
Image Classification (HP)
|
100% |
3749
697.2 IPS |
|
|
Image Classification (Q)
|
96% |
2528
472.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3571
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3845
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11317
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20895
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17881
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4227
336.5 IPS |
|
|
Object Detection (Q)
|
94% |
2964
236.2 IPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8520
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4777
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9150
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15203
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10591
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27369
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41532
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33868
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5991
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7304
269.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5196
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5699
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4992
86.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9580
165.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9424
162.9 IPS |
