Mac17,9
Geekbench AI Score
20223
Single Precision Score
35226
Half Precision Score
34211
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dd1989 |
| Upload Date | March 11 2026 01:41 PM |
| Views | 15 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8604
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
12614
2.35 KIPS |
|
|
Image Classification (Q)
|
99% |
11786
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18012
292.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
28740
465.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27445
444.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
71539
83.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
185638
216.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
212777
249.4 IPS |
|
|
Object Detection (SP)
|
100% |
7999
634.5 IPS |
|
|
Object Detection (HP)
|
100% |
14805
1.17 KIPS |
|
|
Object Detection (Q)
|
94% |
13774
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
33332
396.1 IPS |
|
|
Face Detection (HP)
|
100% |
55192
655.8 IPS |
|
|
Face Detection (Q)
|
100% |
49631
589.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
41578
320.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
73722
568.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
70319
549.0 IPS |
|
|
Style Transfer (SP)
|
100% |
152366
195.9 IPS |
|
|
Style Transfer (HP)
|
100% |
331807
426.5 IPS |
|
|
Style Transfer (Q)
|
96% |
394655
509.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26470
977.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43555
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35098
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5510
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5535
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
7792
134.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9115
157.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8660
149.6 IPS |
