Mac17,9
Geekbench AI Score
5057
Single Precision Score
8760
Half Precision Score
6997
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 19 2026 09:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 15 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2320
431.4 IPS |
|
|
Image Classification (HP)
|
100% |
3660
680.7 IPS |
|
|
Image Classification (Q)
|
96% |
2513
469.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2586
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3510
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3958
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11246
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20770
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17747
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2819
223.6 IPS |
|
|
Object Detection (HP)
|
97% |
4251
338.5 IPS |
|
|
Object Detection (Q)
|
94% |
2969
236.7 IPS |
|
|
Face Detection (SP)
|
100% |
5089
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
8720
103.6 IPS |
|
|
Face Detection (Q)
|
100% |
4886
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9354
72.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15586
120.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10801
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26925
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41671
53.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34118
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7209
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5230
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
3084
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5690
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5618
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
98% |
10102
174.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10158
175.6 IPS |
