MacBook Pro (14-inch, 2024)
Geekbench AI Score
5986
Single Precision Score
37302
Half Precision Score
51275
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | southface |
| Upload Date | January 09 2025 07:46 PM |
| Views | 7 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2149
399.7 IPS |
|
|
Image Classification (HP)
|
100% |
17704
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
22578
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23105
374.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31491
510.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19304
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123756
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231694
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
100% |
19803
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24533
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4860
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
44418
527.8 IPS |
|
|
Face Detection (Q)
|
100% |
62460
742.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9121
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111019
855.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
180362
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
37046
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232861
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297487
383.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7217
266.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46115
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78957
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
7036
9.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6196
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16590
285.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16696
288.5 IPS |
