Mac16,9
Geekbench AI Score
23362
Single Precision Score
26010
Half Precision Score
24115
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cyberhomie |
| Upload Date | June 02 2025 10:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| 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% |
10646
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
10900
2.03 KIPS |
|
|
Image Classification (Q)
|
96% |
9809
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23239
376.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24333
394.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22689
367.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
106015
123.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
108152
126.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
104436
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
8660
686.9 IPS |
|
|
Object Detection (HP)
|
100% |
9860
782.1 IPS |
|
|
Object Detection (Q)
|
92% |
9199
734.3 IPS |
|
|
Face Detection (SP)
|
100% |
40028
475.6 IPS |
|
|
Face Detection (HP)
|
100% |
42287
502.5 IPS |
|
|
Face Detection (Q)
|
100% |
36557
434.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44033
339.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47577
366.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
42732
333.8 IPS |
|
|
Style Transfer (SP)
|
100% |
218963
281.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232287
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
219472
283.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29935
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30101
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26336
972.5 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5310
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6312
108.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6451
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6488
112.1 IPS |
