Mac17,2
Geekbench AI Score
5301
Single Precision Score
42418
Half Precision Score
58318
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | andrewdkim11 |
| Upload Date | November 21 2025 06:11 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.2 IPS |
|
|
Image Classification (HP)
|
100% |
18912
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
25178
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23767
385.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33015
535.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10965
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178214
207.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
329776
386.5 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
18838
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
27193
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4747
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
46966
558.1 IPS |
|
|
Face Detection (Q)
|
100% |
66655
792.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
112004
862.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
182116
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27344
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
271929
349.6 IPS |
|
|
Style Transfer (Q)
|
96% |
376871
486.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66143
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101810
3.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
7428
9.91 KIPS |
|
|
Text Classification (Q)
|
93% |
7059
9.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5017
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17786
306.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18568
320.9 IPS |
