Mac17,9
Geekbench AI Score
5041
Single Precision Score
8779
Half Precision Score
7036
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tmaier |
| Upload Date | March 17 2026 06:09 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D2125) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (HP)
|
100% |
3701
688.2 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3489
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4011
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11371
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20941
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18035
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2835
224.9 IPS |
|
|
Object Detection (HP)
|
97% |
4264
339.5 IPS |
|
|
Object Detection (Q)
|
94% |
3005
239.5 IPS |
|
|
Face Detection (SP)
|
100% |
5164
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
8728
103.7 IPS |
|
|
Face Detection (Q)
|
100% |
4937
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9434
72.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15755
121.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10829
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27177
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41947
53.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34312
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7302
269.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5219
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5490
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2408
41.5 IPS |
|
|
Machine Translation (HP)
|
98% |
10201
176.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10296
177.9 IPS |
