MacBook Pro (14-inch, 2023)
Geekbench AI Score
4147
Single Precision Score
26899
Half Precision Score
30434
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Quasarinho |
| Upload Date | January 21 2025 06:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
14600
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
17984
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19639
318.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24666
399.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12930
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106384
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104857
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
99% |
16043
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
17667
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
34191
406.3 IPS |
|
|
Face Detection (Q)
|
100% |
46317
550.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6381
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
88264
680.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
111492
871.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24796
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204484
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
189731
244.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5074
187.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41182
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51039
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3976
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3974
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4593
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4011
69.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4175
72.1 IPS |
