Mac17,2
Geekbench AI Score
12136
Single Precision Score
23013
Half Precision Score
20707
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 07:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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 | 4.33 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5615
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
9565
1.78 KIPS |
|
|
Image Classification (Q)
|
97% |
8362
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10015
162.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16493
267.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17028
276.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
39304
45.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
101941
118.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
111245
130.4 IPS |
|
|
Object Detection (SP)
|
100% |
6272
497.5 IPS |
|
|
Object Detection (HP)
|
100% |
10808
857.3 IPS |
|
|
Object Detection (Q)
|
93% |
9627
768.0 IPS |
|
|
Face Detection (SP)
|
100% |
17215
204.6 IPS |
|
|
Face Detection (HP)
|
100% |
32592
387.3 IPS |
|
|
Face Detection (Q)
|
100% |
25460
302.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28413
218.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
53227
410.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
52697
411.4 IPS |
|
|
Style Transfer (SP)
|
100% |
81064
104.2 IPS |
|
|
Style Transfer (HP)
|
100% |
188720
242.6 IPS |
|
|
Style Transfer (Q)
|
96% |
210048
271.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16222
599.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30873
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28308
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
5193
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5150
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2743
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4568
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2314
40.0 IPS |
