Mac16,5
Geekbench AI Score
23618
Single Precision Score
25834
Half Precision Score
24372
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 04 2025 01:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10162
1.89 KIPS |
|
|
Image Classification (HP)
|
100% |
10197
1.90 KIPS |
|
|
Image Classification (Q)
|
96% |
9640
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23154
375.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24515
397.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23258
377.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
106872
124.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
108043
126.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
104657
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
9662
766.4 IPS |
|
|
Object Detection (HP)
|
100% |
10057
797.7 IPS |
|
|
Object Detection (Q)
|
92% |
9353
746.5 IPS |
|
|
Face Detection (SP)
|
100% |
38904
462.3 IPS |
|
|
Face Detection (HP)
|
100% |
41628
494.6 IPS |
|
|
Face Detection (Q)
|
100% |
36412
432.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44246
340.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46502
358.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
43908
343.0 IPS |
|
|
Style Transfer (SP)
|
100% |
224117
288.1 IPS |
|
|
Style Transfer (HP)
|
100% |
237497
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
229733
296.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31128
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30401
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26686
985.4 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5390
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5310
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6284
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6473
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6474
111.9 IPS |
