MacBook Pro (14-inch, 2024)
Geekbench AI Score
23230
Single Precision Score
25965
Half Precision Score
24167
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | suvash |
| Upload Date | April 23 2025 11:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10456
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
10248
1.91 KIPS |
|
|
Image Classification (Q)
|
96% |
9306
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23447
380.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24153
391.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22988
372.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
105832
123.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
109273
127.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
105512
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
8539
677.4 IPS |
|
|
Object Detection (HP)
|
100% |
10126
803.2 IPS |
|
|
Object Detection (Q)
|
92% |
9235
737.2 IPS |
|
|
Face Detection (SP)
|
100% |
39297
466.9 IPS |
|
|
Face Detection (HP)
|
100% |
41033
487.6 IPS |
|
|
Face Detection (Q)
|
100% |
36098
428.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44155
340.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46971
361.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
42817
334.8 IPS |
|
|
Style Transfer (SP)
|
100% |
218843
281.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238159
306.2 IPS |
|
|
Style Transfer (Q)
|
96% |
224962
290.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30000
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31125
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26926
994.2 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5370
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6184
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6503
112.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6487
112.1 IPS |
