Mac17,9
Geekbench AI Score
4999
Single Precision Score
44363
Half Precision Score
57999
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Supr3M |
| Upload Date | March 15 2026 07:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
21123
3.93 KIPS |
|
|
Image Classification (Q)
|
97% |
23301
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25715
416.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
36131
585.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10580
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
182554
213.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
335228
392.9 IPS |
|
|
Object Detection (SP)
|
100% |
2831
224.5 IPS |
|
|
Object Detection (HP)
|
100% |
23201
1.84 KIPS |
|
|
Object Detection (Q)
|
91% |
27712
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
5132
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
49388
586.8 IPS |
|
|
Face Detection (Q)
|
100% |
67861
806.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9389
72.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
136642
1.05 KIPS |
|
|
Depth Estimation (Q)
|
85% |
208328
1.63 KIPS |
|
|
Style Transfer (SP)
|
100% |
27029
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
286965
368.9 IPS |
|
|
Style Transfer (Q)
|
96% |
394601
509.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5944
219.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64609
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96647
3.57 KIPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2432
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18335
315.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18628
321.9 IPS |
