MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
15183
Single Precision Score
19410
Half Precision Score
17409
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nicknick1 |
| Upload Date | February 27 2025 05:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7266
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7598
1.41 KIPS |
|
|
Image Classification (Q)
|
97% |
6683
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13747
222.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14464
234.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15026
243.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
66781
77.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69461
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65228
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
7333
581.7 IPS |
|
|
Object Detection (HP)
|
100% |
7724
612.6 IPS |
|
|
Object Detection (Q)
|
91% |
6575
525.4 IPS |
|
|
Face Detection (SP)
|
100% |
26923
319.9 IPS |
|
|
Face Detection (HP)
|
100% |
30753
365.4 IPS |
|
|
Face Detection (Q)
|
100% |
23283
276.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32589
251.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34608
266.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
28782
224.9 IPS |
|
|
Style Transfer (SP)
|
100% |
143621
184.6 IPS |
|
|
Style Transfer (HP)
|
100% |
160709
206.6 IPS |
|
|
Style Transfer (Q)
|
96% |
149261
192.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21331
787.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22331
824.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18253
674.0 IPS |
|
|
Text Classification (SP)
|
100% |
2679
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4855
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4705
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1849
31.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6945
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6913
119.5 IPS |
