MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2465
Single Precision Score
13408
Half Precision Score
13414
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | marlody |
| Upload Date | August 16 2024 01:36 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.74 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1174
218.2 IPS |
|
|
Image Classification (HP)
|
100% |
7657
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
7681
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6472
104.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
6481
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15242
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
104101
121.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
98843
115.9 IPS |
|
|
Object Detection (SP)
|
100% |
1250
99.2 IPS |
|
|
Object Detection (HP)
|
100% |
9456
750.1 IPS |
|
|
Object Detection (Q)
|
93% |
9641
769.2 IPS |
|
|
Face Detection (SP)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
12699
150.9 IPS |
|
|
Face Detection (Q)
|
100% |
14870
176.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3932
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59464
458.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
63755
493.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15253
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
150172
193.0 IPS |
|
|
Style Transfer (Q)
|
100% |
150954
194.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2822
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19335
714.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23316
863.8 IPS |
|
|
Text Classification (SP)
|
100% |
662
884.1 IPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
93% |
532
714.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2215
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2240
38.7 IPS |
