Mac17,2
Geekbench AI Score
5187
Single Precision Score
42369
Half Precision Score
59485
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | stoninex |
| Upload Date | March 12 2026 02:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2240
416.6 IPS |
|
|
Image Classification (HP)
|
100% |
18711
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
26503
4.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23978
388.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33531
543.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10557
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
177758
207.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
332647
389.9 IPS |
|
|
Object Detection (SP)
|
100% |
2605
206.6 IPS |
|
|
Object Detection (HP)
|
100% |
19332
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26823
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4413
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
47411
563.3 IPS |
|
|
Face Detection (Q)
|
100% |
67357
800.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8901
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
113219
872.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
186918
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
27393
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
272129
349.8 IPS |
|
|
Style Transfer (Q)
|
96% |
378130
488.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66605
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104933
3.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
6995
9.34 KIPS |
|
|
Text Classification (Q)
|
93% |
7559
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4937
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17768
306.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18529
320.2 IPS |
