Mac17,9
Geekbench AI Score
4903
Single Precision Score
46134
Half Precision Score
61469
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | discobay |
| Upload Date | March 18 2026 08:38 AM |
| Views | 4 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
21655
4.03 KIPS |
|
|
Image Classification (Q)
|
97% |
27568
5.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26549
430.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
37553
608.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9725
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
182376
212.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
336429
394.3 IPS |
|
|
Object Detection (SP)
|
100% |
2750
218.1 IPS |
|
|
Object Detection (HP)
|
100% |
24894
1.97 KIPS |
|
|
Object Detection (Q)
|
91% |
29245
2.34 KIPS |
|
|
Face Detection (SP)
|
100% |
4867
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
49750
591.1 IPS |
|
|
Face Detection (Q)
|
100% |
70405
836.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9233
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
140334
1.08 KIPS |
|
|
Depth Estimation (Q)
|
85% |
218319
1.71 KIPS |
|
|
Style Transfer (SP)
|
100% |
26127
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
286877
368.8 IPS |
|
|
Style Transfer (Q)
|
96% |
397547
513.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67246
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
107261
3.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6122
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5741
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
20294
349.6 IPS |
|
|
Machine Translation (Q)
|
98% |
20094
347.3 IPS |
