MacBook Pro (14-inch, 2024)
Geekbench AI Score
5935
Single Precision Score
36883
Half Precision Score
49056
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | videocam |
| Upload Date | December 18 2024 03:05 PM |
| Views | 2 |
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 (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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.8 IPS |
|
|
Image Classification (HP)
|
100% |
18076
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
22859
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22840
370.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31741
514.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19135
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123050
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229686
269.2 IPS |
|
|
Object Detection (SP)
|
100% |
2570
203.8 IPS |
|
|
Object Detection (HP)
|
100% |
19281
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23562
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4806
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
44235
525.6 IPS |
|
|
Face Detection (Q)
|
100% |
57450
682.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8816
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
109393
842.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
177110
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
37028
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232500
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
299476
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7212
266.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46395
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77028
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5427
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5382
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6063
104.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16793
289.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16272
281.2 IPS |
