Mac17,2
Geekbench AI Score
5304
Single Precision Score
41712
Half Precision Score
58088
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ace847593 |
| Upload Date | January 02 2026 09:20 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.0 IPS |
|
|
Image Classification (HP)
|
100% |
18631
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
23920
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24019
389.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33003
535.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11057
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177377
207.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
333031
390.3 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
18768
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26442
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4883
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
46784
555.9 IPS |
|
|
Face Detection (Q)
|
100% |
66138
785.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9105
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110890
854.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
182037
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
26676
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
270031
347.1 IPS |
|
|
Style Transfer (Q)
|
96% |
374904
483.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5898
217.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64151
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102562
3.79 KIPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
6721
8.97 KIPS |
|
|
Text Classification (Q)
|
93% |
7167
9.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4998
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17723
305.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18965
327.7 IPS |
