MacBook Pro (16-inch, 2023)
Geekbench AI Score
13934
Single Precision Score
15423
Half Precision Score
14160
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sse |
| Upload Date | November 29 2024 05:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.62 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7185
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7328
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6344
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12706
206.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12835
208.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12766
206.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
84665
98.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
88375
103.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
83187
97.5 IPS |
|
|
Object Detection (SP)
|
100% |
5728
454.4 IPS |
|
|
Object Detection (HP)
|
100% |
6967
552.7 IPS |
|
|
Object Detection (Q)
|
91% |
6204
495.7 IPS |
|
|
Face Detection (SP)
|
100% |
28811
342.3 IPS |
|
|
Face Detection (HP)
|
100% |
29846
354.6 IPS |
|
|
Face Detection (Q)
|
100% |
22056
262.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
34740
267.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35768
275.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
30088
235.2 IPS |
|
|
Style Transfer (SP)
|
100% |
137337
176.5 IPS |
|
|
Style Transfer (HP)
|
100% |
155940
200.5 IPS |
|
|
Style Transfer (Q)
|
96% |
145570
187.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21109
779.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21625
798.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17825
658.2 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1133
19.6 IPS |
