MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2694
Single Precision Score
13687
Half Precision Score
14062
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | August 15 2024 05:25 PM |
| Views | 11 |
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 | 3.76 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% |
7451
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
7793
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6440
104.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
6462
104.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15322
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
103309
120.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
99746
117.0 IPS |
|
|
Object Detection (SP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (HP)
|
100% |
10214
810.2 IPS |
|
|
Object Detection (Q)
|
93% |
10056
802.4 IPS |
|
|
Face Detection (SP)
|
100% |
2306
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
12652
150.3 IPS |
|
|
Face Detection (Q)
|
100% |
14543
172.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4039
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
60764
468.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
63809
493.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15617
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
149119
191.7 IPS |
|
|
Style Transfer (Q)
|
100% |
149710
192.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3281
121.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20111
742.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24689
914.7 IPS |
|
|
Text Classification (SP)
|
100% |
1080
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
887
1.18 KIPS |
|
|
Text Classification (Q)
|
93% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2214
38.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2229
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2232
38.6 IPS |
