MacBook Pro (16-inch, 2024)
Geekbench AI Score
21812
Single Precision Score
24466
Half Precision Score
20177
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | 3Dman |
| Upload Date | February 26 2025 08:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10266
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
10298
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
8824
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19727
319.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20807
337.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21751
352.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
108138
126.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
111127
129.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104454
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
9306
738.2 IPS |
|
|
Object Detection (HP)
|
100% |
10284
815.8 IPS |
|
|
Object Detection (Q)
|
91% |
8828
705.4 IPS |
|
|
Face Detection (SP)
|
100% |
39547
469.9 IPS |
|
|
Face Detection (HP)
|
100% |
43255
514.0 IPS |
|
|
Face Detection (Q)
|
100% |
31708
376.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45273
348.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48021
370.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
40804
318.9 IPS |
|
|
Style Transfer (SP)
|
100% |
224685
288.8 IPS |
|
|
Style Transfer (HP)
|
100% |
242531
311.8 IPS |
|
|
Style Transfer (Q)
|
96% |
222232
286.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30151
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32199
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26275
970.2 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5400
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1549
26.8 IPS |
