MacBook Pro (16-inch, 2023)
Geekbench AI Score
14192
Single Precision Score
15495
Half Precision Score
13926
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 02:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7100
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7267
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
5340
996.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
12264
198.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12141
196.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11993
194.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
82745
96.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
86742
101.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
77915
91.3 IPS |
|
|
Object Detection (SP)
|
100% |
6437
510.6 IPS |
|
|
Object Detection (HP)
|
100% |
6937
550.2 IPS |
|
|
Object Detection (Q)
|
91% |
5648
451.3 IPS |
|
|
Face Detection (SP)
|
100% |
28496
338.6 IPS |
|
|
Face Detection (HP)
|
100% |
28737
341.5 IPS |
|
|
Face Detection (Q)
|
100% |
19617
233.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33756
260.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34476
265.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
29254
228.6 IPS |
|
|
Style Transfer (SP)
|
100% |
134984
173.5 IPS |
|
|
Style Transfer (HP)
|
100% |
151861
195.2 IPS |
|
|
Style Transfer (Q)
|
96% |
140351
181.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20283
749.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21305
786.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16356
604.0 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1860
32.1 IPS |
