Mac17,2
Geekbench AI Score
5318
Single Precision Score
42199
Half Precision Score
58672
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | ivanpagac |
| Upload Date | March 04 2026 08:45 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
2272
422.6 IPS |
|
|
Image Classification (HP)
|
100% |
18415
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
25842
4.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23979
388.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33367
540.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11253
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
177873
207.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
333541
390.9 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
18790
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
27048
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4746
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
46743
555.4 IPS |
|
|
Face Detection (Q)
|
100% |
66592
791.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9097
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
112654
867.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
185548
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27634
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
272829
350.7 IPS |
|
|
Style Transfer (Q)
|
96% |
372147
480.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66081
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102450
3.78 KIPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
7178
9.58 KIPS |
|
|
Text Classification (Q)
|
93% |
7007
9.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5047
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17808
306.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18827
325.3 IPS |
