MacBook Pro (16-inch, 2024)
Geekbench AI Score
21727
Single Precision Score
24231
Half Precision Score
21582
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 01 2025 09:36 PM |
| Views | 26 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10059
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
10253
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
8566
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19384
314.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20285
328.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20998
340.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
106705
124.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
110143
128.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
103300
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
9000
713.9 IPS |
|
|
Object Detection (HP)
|
100% |
10071
798.8 IPS |
|
|
Object Detection (Q)
|
91% |
8660
692.0 IPS |
|
|
Face Detection (SP)
|
100% |
39032
463.8 IPS |
|
|
Face Detection (HP)
|
100% |
41367
491.5 IPS |
|
|
Face Detection (Q)
|
100% |
31693
376.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44311
341.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48988
377.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
40895
319.6 IPS |
|
|
Style Transfer (SP)
|
100% |
224952
289.2 IPS |
|
|
Style Transfer (HP)
|
100% |
241454
310.4 IPS |
|
|
Style Transfer (Q)
|
96% |
219154
282.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30551
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32748
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25468
940.4 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5323
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5402
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3487
60.3 IPS |
