MacBook Pro (14-inch, 2023)
Geekbench AI Score
2429
Single Precision Score
15136
Half Precision Score
16034
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rene_simon |
| Upload Date | August 16 2024 08:38 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 (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% |
1091
202.9 IPS |
|
|
Image Classification (HP)
|
100% |
8059
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
8645
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5127
83.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5166
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11179
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92888
108.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
89243
104.7 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.3 IPS |
|
|
Object Detection (HP)
|
99% |
9459
752.5 IPS |
|
|
Object Detection (Q)
|
93% |
10285
820.7 IPS |
|
|
Face Detection (SP)
|
100% |
1995
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
11711
139.2 IPS |
|
|
Face Detection (Q)
|
100% |
13979
166.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4174
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
56729
437.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
61308
474.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13464
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
146413
188.2 IPS |
|
|
Style Transfer (Q)
|
100% |
147271
189.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3059
113.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21055
777.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28248
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4172
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2035
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1952
33.7 IPS |
