Mac17,9
Geekbench AI Score
5047
Single Precision Score
44251
Half Precision Score
57763
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 06 2026 04:00 PM |
| Views | 22 |
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, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.59 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2315
430.5 IPS |
|
|
Image Classification (HP)
|
100% |
20069
3.73 KIPS |
|
|
Image Classification (Q)
|
97% |
23219
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
25920
420.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
36086
585.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11380
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
182392
212.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
335208
392.9 IPS |
|
|
Object Detection (SP)
|
100% |
2816
223.4 IPS |
|
|
Object Detection (HP)
|
100% |
22351
1.77 KIPS |
|
|
Object Detection (Q)
|
91% |
27978
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
5203
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
49339
586.3 IPS |
|
|
Face Detection (Q)
|
100% |
68512
814.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9416
72.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
136792
1.05 KIPS |
|
|
Depth Estimation (Q)
|
85% |
200122
1.56 KIPS |
|
|
Style Transfer (SP)
|
100% |
27009
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
286822
368.7 IPS |
|
|
Style Transfer (Q)
|
96% |
394586
509.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5948
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65675
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96013
3.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5580
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2442
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
19138
329.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18384
317.7 IPS |
