Mac17,9
Geekbench AI Score
20249
Single Precision Score
34939
Half Precision Score
34153
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Jeff1959w |
| Upload Date | March 19 2026 11:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8774
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
12619
2.35 KIPS |
|
|
Image Classification (Q)
|
99% |
11765
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18008
291.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28789
466.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27402
444.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
71564
83.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
186437
217.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
212851
249.5 IPS |
|
|
Object Detection (SP)
|
100% |
7998
634.4 IPS |
|
|
Object Detection (HP)
|
100% |
14167
1.12 KIPS |
|
|
Object Detection (Q)
|
94% |
13814
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
33468
397.7 IPS |
|
|
Face Detection (HP)
|
100% |
55258
656.6 IPS |
|
|
Face Detection (Q)
|
100% |
49675
590.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
41572
320.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
73428
565.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
69873
545.5 IPS |
|
|
Style Transfer (SP)
|
100% |
152050
195.5 IPS |
|
|
Style Transfer (HP)
|
100% |
330950
425.4 IPS |
|
|
Style Transfer (Q)
|
96% |
393668
508.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26329
972.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43326
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35073
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5413
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
7799
134.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8972
154.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8632
149.2 IPS |
