MacBook Pro (16-inch, 2023)
Geekbench AI Score
2235
Single Precision Score
15015
Half Precision Score
16000
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | lpbagley |
| Upload Date | September 12 2024 02:43 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1087
202.2 IPS |
|
|
Image Classification (HP)
|
100% |
8351
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
8907
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5173
83.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
5179
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11296
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
93205
108.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
88687
104.0 IPS |
|
|
Object Detection (SP)
|
100% |
1236
98.0 IPS |
|
|
Object Detection (HP)
|
99% |
9696
771.3 IPS |
|
|
Object Detection (Q)
|
93% |
10382
828.4 IPS |
|
|
Face Detection (SP)
|
100% |
2139
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
11996
142.5 IPS |
|
|
Face Detection (Q)
|
100% |
14014
166.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3853
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57018
439.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
61794
477.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13169
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
147022
189.0 IPS |
|
|
Style Transfer (Q)
|
100% |
147455
189.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2928
108.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20989
775.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27954
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
539
719.2 IPS |
|
|
Text Classification (HP)
|
100% |
3610
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3715
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1953
33.7 IPS |
