MacBook Pro M4 Max 14" Neural Engine MacBook Pro (14-inch, 2024)
Geekbench AI Score
5796
Single Precision Score
35796
Half Precision Score
48819
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | stncttr908 |
| Upload Date | March 08 2025 07:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.44 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2097
390.0 IPS |
|
|
Image Classification (HP)
|
100% |
16758
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
21578
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23041
373.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31690
513.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18907
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122906
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231246
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
20565
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
23510
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4553
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
43172
513.0 IPS |
|
|
Face Detection (Q)
|
100% |
56712
673.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8678
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
108715
837.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
176548
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35509
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232561
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297315
383.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7062
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46129
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77787
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4343
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6131
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16187
278.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16102
278.3 IPS |
