MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
16808
Single Precision Score
18706
Half Precision Score
16654
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DSM2 |
| Upload Date | November 04 2024 10:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8214
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
8331
1.55 KIPS |
|
|
Image Classification (Q)
|
97% |
7242
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16688
270.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17537
284.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18055
292.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
92371
107.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
95469
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
89339
104.7 IPS |
|
|
Object Detection (SP)
|
100% |
7663
607.8 IPS |
|
|
Object Detection (HP)
|
100% |
8470
671.8 IPS |
|
|
Object Detection (Q)
|
91% |
7236
578.2 IPS |
|
|
Face Detection (SP)
|
100% |
32430
385.3 IPS |
|
|
Face Detection (HP)
|
100% |
36186
430.0 IPS |
|
|
Face Detection (Q)
|
100% |
27103
322.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
38454
296.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40985
315.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
33771
263.9 IPS |
|
|
Style Transfer (SP)
|
100% |
187121
240.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205614
264.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189263
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25159
929.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25829
953.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21290
786.1 IPS |
|
|
Text Classification (SP)
|
100% |
2697
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4710
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4716
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1117
19.3 IPS |
