MacBook Pro (16-inch, 2024)
Geekbench AI Score
22180
Single Precision Score
23219
Half Precision Score
22162
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | aboudesidaoui |
| Upload Date | January 06 2025 01:47 AM |
| Views | 5 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10751
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
11008
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
9446
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19736
319.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20887
338.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21469
348.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
107429
125.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
110600
129.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104202
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
9323
739.5 IPS |
|
|
Object Detection (HP)
|
100% |
10410
825.7 IPS |
|
|
Object Detection (Q)
|
91% |
8951
715.3 IPS |
|
|
Face Detection (SP)
|
100% |
40378
479.8 IPS |
|
|
Face Detection (HP)
|
100% |
42441
504.3 IPS |
|
|
Face Detection (Q)
|
100% |
32466
385.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45026
346.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47591
366.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
40274
314.8 IPS |
|
|
Style Transfer (SP)
|
100% |
222032
285.4 IPS |
|
|
Style Transfer (HP)
|
100% |
240373
309.0 IPS |
|
|
Style Transfer (Q)
|
96% |
221086
285.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30905
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32647
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26682
985.2 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5476
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5384
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3640
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1983
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3640
62.9 IPS |
