MacBook Pro (16-inch, 2023)
Geekbench AI Score
11713
Single Precision Score
12137
Half Precision Score
10792
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ValkyrieNay |
| Upload Date | August 27 2024 10:59 AM |
| Views | 13 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6080
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6250
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
5508
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12087
195.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11976
194.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
11591
187.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
81375
95.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
84742
98.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75533
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
5902
468.1 IPS |
|
|
Object Detection (HP)
|
100% |
6346
503.3 IPS |
|
|
Object Detection (Q)
|
92% |
5192
414.4 IPS |
|
|
Face Detection (SP)
|
100% |
23802
282.8 IPS |
|
|
Face Detection (HP)
|
100% |
24618
292.5 IPS |
|
|
Face Detection (Q)
|
100% |
17624
209.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
32579
251.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33324
256.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
32691
252.8 IPS |
|
|
Style Transfer (SP)
|
100% |
132874
170.8 IPS |
|
|
Style Transfer (HP)
|
100% |
149214
191.8 IPS |
|
|
Style Transfer (Q)
|
100% |
147619
189.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20177
745.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20171
744.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15347
568.6 IPS |
|
|
Text Classification (SP)
|
100% |
589
786.8 IPS |
|
|
Text Classification (HP)
|
100% |
614
819.8 IPS |
|
|
Text Classification (Q)
|
93% |
490
657.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1339
23.1 IPS |
