MacBook Pro (16-inch, 2024)
Geekbench AI Score
5976
Single Precision Score
37352
Half Precision Score
50834
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kelliott0609 |
| Upload Date | January 19 2025 07:49 PM |
| Views | 8 |
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 (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2148
399.4 IPS |
|
|
Image Classification (HP)
|
100% |
18275
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
23221
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2566
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22998
372.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32673
529.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19141
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
124089
144.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231105
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
20007
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24112
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4859
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
44354
527.0 IPS |
|
|
Face Detection (Q)
|
100% |
64545
766.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8996
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
108005
832.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
178798
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
37193
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
231948
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296169
382.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7224
266.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46155
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79009
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5802
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5900
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
6110
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17028
293.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17106
295.6 IPS |
