Mac17,2
Geekbench AI Score
5309
Single Precision Score
41535
Half Precision Score
58526
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | February 15 2026 02:59 AM |
| Views | 7 |
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% |
2304
428.5 IPS |
|
|
Image Classification (HP)
|
100% |
18442
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
24901
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24002
389.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33387
541.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10909
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
177004
206.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
332977
390.3 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
17931
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26906
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47047
559.0 IPS |
|
|
Face Detection (Q)
|
100% |
66058
784.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9145
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111208
856.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
184955
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27563
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
272192
349.9 IPS |
|
|
Style Transfer (Q)
|
96% |
373866
482.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64493
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100859
3.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6655
8.88 KIPS |
|
|
Text Classification (Q)
|
93% |
7437
9.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4965
85.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17797
306.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18478
319.3 IPS |
