MacBook Pro (14-inch, 2023)
Geekbench AI Score
12572
Single Precision Score
13741
Half Precision Score
12676
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tntoak |
| Upload Date | September 27 2024 03:01 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6336
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6527
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
5545
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10767
174.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10663
172.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10450
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
61989
72.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
64839
75.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59811
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
5967
473.3 IPS |
|
|
Object Detection (HP)
|
100% |
6341
502.9 IPS |
|
|
Object Detection (Q)
|
91% |
5428
433.7 IPS |
|
|
Face Detection (SP)
|
100% |
25037
297.5 IPS |
|
|
Face Detection (HP)
|
100% |
25344
301.1 IPS |
|
|
Face Detection (Q)
|
100% |
18787
223.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28916
222.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
29715
228.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
25066
195.9 IPS |
|
|
Style Transfer (SP)
|
100% |
113715
146.2 IPS |
|
|
Style Transfer (HP)
|
100% |
128314
164.9 IPS |
|
|
Style Transfer (Q)
|
96% |
118664
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19580
723.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20552
758.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16715
617.2 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3827
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3789
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1610
27.8 IPS |
