MacBook Pro (16-inch, 2023)
Geekbench AI Score
11290
Single Precision Score
12015
Half Precision Score
11000
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | TallonRain |
| Upload Date | August 18 2024 01:23 AM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6299
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6473
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
5635
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12165
197.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11945
193.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
11564
187.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
81937
95.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
85491
99.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75869
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
6022
477.7 IPS |
|
|
Object Detection (HP)
|
100% |
6389
506.8 IPS |
|
|
Object Detection (Q)
|
92% |
5289
422.2 IPS |
|
|
Face Detection (SP)
|
100% |
24106
286.4 IPS |
|
|
Face Detection (HP)
|
100% |
24970
296.7 IPS |
|
|
Face Detection (Q)
|
100% |
17806
211.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32814
252.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33390
257.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
33106
256.0 IPS |
|
|
Style Transfer (SP)
|
100% |
133468
171.6 IPS |
|
|
Style Transfer (HP)
|
100% |
150855
193.9 IPS |
|
|
Style Transfer (Q)
|
100% |
148310
190.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20620
761.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20822
768.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15840
586.8 IPS |
|
|
Text Classification (SP)
|
100% |
381
508.4 IPS |
|
|
Text Classification (HP)
|
100% |
486
649.0 IPS |
|
|
Text Classification (Q)
|
93% |
483
648.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1483
25.6 IPS |
