Mac17,9
Geekbench AI Score
20337
Single Precision Score
35401
Half Precision Score
34190
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 17 2026 04:13 PM |
| Views | 5 |
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 | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8829
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
12638
2.35 KIPS |
|
|
Image Classification (Q)
|
99% |
11780
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18035
292.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
28831
467.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27518
446.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
71565
83.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
186202
217.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
211439
247.8 IPS |
|
|
Object Detection (SP)
|
100% |
8102
642.6 IPS |
|
|
Object Detection (HP)
|
100% |
14792
1.17 KIPS |
|
|
Object Detection (Q)
|
94% |
13778
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
33521
398.3 IPS |
|
|
Face Detection (HP)
|
100% |
55224
656.2 IPS |
|
|
Face Detection (Q)
|
100% |
49788
591.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
41556
320.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74145
571.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
70568
550.9 IPS |
|
|
Style Transfer (SP)
|
100% |
152535
196.1 IPS |
|
|
Style Transfer (HP)
|
100% |
334348
429.8 IPS |
|
|
Style Transfer (Q)
|
96% |
394724
509.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26116
964.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43442
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34887
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5732
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
7818
134.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9038
155.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8688
150.1 IPS |
