MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2380
Single Precision Score
13304
Half Precision Score
13491
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | marsplaneetta |
| Upload Date | August 15 2024 11:28 PM |
| Views | 4 |
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 | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1158
215.3 IPS |
|
|
Image Classification (HP)
|
100% |
6693
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
7220
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6396
103.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
6414
104.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15251
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
102798
119.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
98622
115.7 IPS |
|
|
Object Detection (SP)
|
100% |
1188
94.2 IPS |
|
|
Object Detection (HP)
|
100% |
9412
746.6 IPS |
|
|
Object Detection (Q)
|
93% |
9425
752.0 IPS |
|
|
Face Detection (SP)
|
100% |
2287
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
12692
150.8 IPS |
|
|
Face Detection (Q)
|
100% |
14850
176.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3765
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
59140
455.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
60585
468.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15624
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
149138
191.7 IPS |
|
|
Style Transfer (Q)
|
100% |
148981
191.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2305
85.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19190
708.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23042
853.7 IPS |
|
|
Text Classification (SP)
|
100% |
573
764.3 IPS |
|
|
Text Classification (HP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (Q)
|
93% |
686
920.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1845
31.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2234
38.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2191
37.9 IPS |
