MacBook Pro (16-inch, 2024)
Geekbench AI Score
5952
Single Precision Score
9186
Half Precision Score
7025
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | aminutolo |
| Upload Date | February 23 2025 03:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2120
394.3 IPS |
|
|
Image Classification (HP)
|
100% |
3052
567.5 IPS |
|
|
Image Classification (Q)
|
96% |
2175
406.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3957
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19150
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32451
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24810
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (HP)
|
97% |
3855
306.9 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8084
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
4717
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9087
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14981
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10420
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37046
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53126
68.3 IPS |
|
|
Style Transfer (Q)
|
96% |
40123
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7172
264.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9669
357.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5336
197.0 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5377
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5380
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6099
105.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9243
159.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9018
155.8 IPS |
