MacBook Pro (14-inch, 2023)
Geekbench AI Score
4204
Single Precision Score
26704
Half Precision Score
29593
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 01:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
13730
2.55 KIPS |
|
|
Image Classification (Q)
|
96% |
16008
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20121
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25000
405.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12933
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105289
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104204
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
99% |
15282
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16863
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
35941
427.1 IPS |
|
|
Face Detection (Q)
|
100% |
46413
551.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6296
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87655
675.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
106565
832.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26027
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
204181
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
189355
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5079
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42493
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48492
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3895
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4576
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4141
71.6 IPS |
