Mac17,2
Geekbench AI Score
14061
Single Precision Score
25504
Half Precision Score
25830
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | February 24 2026 11:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5809
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
9513
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
9610
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9825
159.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16264
263.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16630
269.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
38765
45.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
100021
116.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
125491
147.1 IPS |
|
|
Object Detection (SP)
|
100% |
6207
492.3 IPS |
|
|
Object Detection (HP)
|
100% |
10971
870.2 IPS |
|
|
Object Detection (Q)
|
94% |
10770
858.7 IPS |
|
|
Face Detection (SP)
|
100% |
17215
204.6 IPS |
|
|
Face Detection (HP)
|
100% |
33376
396.6 IPS |
|
|
Face Detection (Q)
|
100% |
31198
370.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27761
213.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52902
407.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
53262
415.8 IPS |
|
|
Style Transfer (SP)
|
100% |
79581
102.3 IPS |
|
|
Style Transfer (HP)
|
100% |
186318
239.5 IPS |
|
|
Style Transfer (Q)
|
96% |
218442
281.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16085
593.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30819
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27029
998.0 IPS |
|
|
Text Classification (SP)
|
99% |
5860
7.82 KIPS |
|
|
Text Classification (HP)
|
99% |
9538
12.7 KIPS |
|
|
Text Classification (Q)
|
93% |
9472
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
6137
105.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7092
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6587
113.8 IPS |
