Mac17,8
Geekbench AI Score
21574
Single Precision Score
37243
Half Precision Score
36281
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tsteele2013 |
| Upload Date | April 09 2026 07:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,8 |
| Model ID | Mac17,8 |
| Motherboard | Mac17,8 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8825
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
12663
2.35 KIPS |
|
|
Image Classification (Q)
|
99% |
11797
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17984
291.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28833
467.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27577
447.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
71522
83.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
186158
217.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
213204
249.9 IPS |
|
|
Object Detection (SP)
|
100% |
8000
634.6 IPS |
|
|
Object Detection (HP)
|
100% |
14638
1.16 KIPS |
|
|
Object Detection (Q)
|
94% |
13958
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
33257
395.2 IPS |
|
|
Face Detection (HP)
|
100% |
55808
663.1 IPS |
|
|
Face Detection (Q)
|
100% |
50349
598.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
41582
320.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74106
570.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
70955
554.0 IPS |
|
|
Style Transfer (SP)
|
100% |
151994
195.4 IPS |
|
|
Style Transfer (HP)
|
100% |
333690
429.0 IPS |
|
|
Style Transfer (Q)
|
96% |
393433
507.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26220
968.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44386
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36373
1.34 KIPS |
|
|
Text Classification (SP)
|
99% |
5703
7.61 KIPS |
|
|
Text Classification (HP)
|
99% |
9573
12.8 KIPS |
|
|
Text Classification (Q)
|
92% |
9365
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
7656
131.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8802
151.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8527
147.4 IPS |
