Mac16,5
Geekbench AI Score
5599
Single Precision Score
36598
Half Precision Score
50140
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 04 2025 01:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2132
396.5 IPS |
|
|
Image Classification (HP)
|
100% |
17104
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
22248
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22681
367.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31231
506.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18162
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122543
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229372
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
2605
206.7 IPS |
|
|
Object Detection (HP)
|
100% |
19660
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24312
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4946
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
41509
493.2 IPS |
|
|
Face Detection (Q)
|
100% |
64434
765.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8864
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104432
804.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
180346
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
26509
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232711
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297590
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45499
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80782
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6114
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5662
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
6208
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16441
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16389
283.2 IPS |
