MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4356
Single Precision Score
30578
Half Precision Score
33700
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | asto18089 |
| Upload Date | February 23 2025 09:48 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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 | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
15868
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
17920
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21906
355.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27083
439.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16591
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119598
139.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
118453
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1930
153.1 IPS |
|
|
Object Detection (HP)
|
100% |
16566
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
16437
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
38509
457.6 IPS |
|
|
Face Detection (Q)
|
100% |
49500
588.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7098
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100591
775.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
114605
896.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30196
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
215316
276.8 IPS |
|
|
Style Transfer (Q)
|
96% |
210105
271.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5650
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37464
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49300
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4668
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4647
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7115
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7323
126.6 IPS |
