MacBook Pro (14-inch, 2024)
Geekbench AI Score
5866
Single Precision Score
37130
Half Precision Score
49645
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | rollinm |
| Upload Date | February 09 2025 05:02 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2104
391.3 IPS |
|
|
Image Classification (HP)
|
100% |
16679
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21297
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2526
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24131
391.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33588
544.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18755
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122708
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230651
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
19151
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
24431
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4718
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
44133
524.4 IPS |
|
|
Face Detection (Q)
|
100% |
63680
756.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8768
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
112310
865.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
179989
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35842
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233846
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
305452
394.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7186
265.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47500
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75888
2.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4987
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
6038
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16305
280.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17028
294.3 IPS |
