Mac17,9
Geekbench AI Score
20257
Single Precision Score
35185
Half Precision Score
34149
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | DFW |
| Upload Date | March 19 2026 05:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8831
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
12433
2.31 KIPS |
|
|
Image Classification (Q)
|
99% |
11750
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17971
291.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
28780
466.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27576
447.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
71353
83.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
185877
216.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
211756
248.2 IPS |
|
|
Object Detection (SP)
|
100% |
8145
646.1 IPS |
|
|
Object Detection (HP)
|
100% |
14475
1.15 KIPS |
|
|
Object Detection (Q)
|
94% |
13520
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
32789
389.6 IPS |
|
|
Face Detection (HP)
|
100% |
54363
646.0 IPS |
|
|
Face Detection (Q)
|
100% |
49406
587.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
41612
320.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74753
575.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
70534
550.7 IPS |
|
|
Style Transfer (SP)
|
100% |
152118
195.6 IPS |
|
|
Style Transfer (HP)
|
100% |
336884
433.1 IPS |
|
|
Style Transfer (Q)
|
96% |
394548
509.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26843
991.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43759
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34851
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5631
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
7691
132.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8954
154.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8609
148.8 IPS |
