MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4376
Single Precision Score
24135
Half Precision Score
28446
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | asto18089 |
| Upload Date | August 16 2024 06:07 AM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1498
278.5 IPS |
|
|
Image Classification (HP)
|
100% |
7048
1.31 KIPS |
|
|
Image Classification (Q)
|
99% |
16524
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13786
223.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
13761
223.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16801
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
116100
135.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
113210
132.8 IPS |
|
|
Object Detection (SP)
|
100% |
1974
156.6 IPS |
|
|
Object Detection (HP)
|
100% |
15219
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16501
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
4046
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
24607
292.4 IPS |
|
|
Face Detection (Q)
|
100% |
38368
455.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7423
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82575
636.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
85920
664.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30507
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
162985
209.5 IPS |
|
|
Style Transfer (Q)
|
100% |
162740
209.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37582
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49115
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2650
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4598
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4534
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6828
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6838
118.2 IPS |
