MacBook Pro (14-inch, 2024)
Geekbench AI Score
5948
Single Precision Score
35585
Half Precision Score
48127
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | muzzy099 |
| Upload Date | December 02 2024 11:25 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| 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% |
2117
393.7 IPS |
|
|
Image Classification (HP)
|
100% |
16881
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
22237
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22584
366.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31059
503.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19231
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122987
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230821
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2571
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
18524
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
22820
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4887
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
44010
522.9 IPS |
|
|
Face Detection (Q)
|
100% |
61985
736.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9063
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109337
842.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
175346
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
37311
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232179
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
295916
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7184
265.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45265
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76619
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4621
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4675
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6063
104.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16044
276.4 IPS |
|
|
Machine Translation (Q)
|
98% |
15908
274.9 IPS |
