MacBook Pro (16-inch, 2024)
Geekbench AI Score
5978
Single Precision Score
36834
Half Precision Score
51753
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sse |
| Upload Date | February 19 2025 03:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
17648
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
23974
4.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23407
379.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31328
507.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19160
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123196
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231079
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
19385
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
25946
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
44278
526.1 IPS |
|
|
Face Detection (Q)
|
100% |
58869
699.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9117
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
112941
870.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
179364
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
37385
48.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232029
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297166
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7233
267.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41728
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80168
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5764
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
7214
9.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6118
105.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16702
287.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16868
291.5 IPS |
