MacBook Pro (16-inch, 2024)
Geekbench AI Score
20906
Single Precision Score
23550
Half Precision Score
21967
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mounts_emporia |
| Upload Date | April 17 2025 07:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9340
1.74 KIPS |
|
|
Image Classification (HP)
|
100% |
9760
1.82 KIPS |
|
|
Image Classification (Q)
|
96% |
9071
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20159
326.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21294
345.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19985
324.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
79856
93.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
82905
96.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
80598
94.4 IPS |
|
|
Object Detection (SP)
|
100% |
8310
659.1 IPS |
|
|
Object Detection (HP)
|
100% |
9509
754.3 IPS |
|
|
Object Detection (Q)
|
92% |
8788
701.5 IPS |
|
|
Face Detection (SP)
|
100% |
34697
412.3 IPS |
|
|
Face Detection (HP)
|
100% |
37051
440.3 IPS |
|
|
Face Detection (Q)
|
100% |
32111
381.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
41872
322.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
44766
344.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
39957
312.4 IPS |
|
|
Style Transfer (SP)
|
100% |
186302
239.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203493
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
196872
254.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26849
991.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27594
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23892
882.2 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5452
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5353
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6030
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6309
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6309
109.0 IPS |
