MacBook Pro (16-inch, 2024)
Geekbench AI Score
22169
Single Precision Score
24608
Half Precision Score
22079
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | erickrgb |
| Upload Date | December 14 2024 06:38 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.46 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10357
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
10905
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
8978
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20151
326.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20840
337.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21693
351.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
107742
125.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
111062
129.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104586
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
9263
734.7 IPS |
|
|
Object Detection (HP)
|
100% |
10240
812.2 IPS |
|
|
Object Detection (Q)
|
91% |
8711
696.0 IPS |
|
|
Face Detection (SP)
|
100% |
40490
481.1 IPS |
|
|
Face Detection (HP)
|
100% |
41791
496.6 IPS |
|
|
Face Detection (Q)
|
100% |
32607
387.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
45142
347.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47710
367.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
40732
318.3 IPS |
|
|
Style Transfer (SP)
|
100% |
226427
291.1 IPS |
|
|
Style Transfer (HP)
|
100% |
241690
310.7 IPS |
|
|
Style Transfer (Q)
|
96% |
225147
290.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30747
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32670
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26671
984.8 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5355
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5328
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3652
63.1 IPS |
