MacBook Pro (14-inch, 2023)
Geekbench AI Score
13060
Single Precision Score
13725
Half Precision Score
10934
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 16 2024 09:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6419
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6427
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
5639
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10872
176.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10507
170.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
10396
168.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
62057
72.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
64926
75.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
57321
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
6006
476.4 IPS |
|
|
Object Detection (HP)
|
100% |
6285
498.5 IPS |
|
|
Object Detection (Q)
|
91% |
5295
423.1 IPS |
|
|
Face Detection (SP)
|
100% |
25262
300.2 IPS |
|
|
Face Detection (HP)
|
100% |
25333
301.0 IPS |
|
|
Face Detection (Q)
|
100% |
17881
212.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
29147
224.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29645
228.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
6045
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
113936
146.5 IPS |
|
|
Style Transfer (HP)
|
100% |
128907
165.7 IPS |
|
|
Style Transfer (Q)
|
100% |
126562
162.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19805
731.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20227
746.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15005
555.9 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3875
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3833
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1460
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1135
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1745
30.2 IPS |
