MacBook Pro (14-inch, 2023)
Geekbench AI Score
4144
Single Precision Score
26978
Half Precision Score
30318
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 10:11 AM |
| Views | 1 |
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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
14274
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
17035
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19400
314.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24507
397.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12976
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106251
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105599
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.5 IPS |
|
|
Object Detection (HP)
|
99% |
15726
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17380
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3713
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
35805
425.4 IPS |
|
|
Face Detection (Q)
|
100% |
46272
549.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6432
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88701
683.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
112121
876.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24858
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204268
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193205
249.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5083
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41965
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50157
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4041
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4009
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4013
69.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4249
73.4 IPS |
